Graph-theoretic image registration using prior examples

Mert Rory Sabuncu, Peter Jeffrey Ramadge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Information theoretic image and volume registration is currently of interest as a method for multi-modal alignment. It has been suggested that it is useful to incorporate information obtained from previous registrations into these methods to improve future registration performance. In this paper we examine how this can be done when using a graph theoretic estimator of entropy. Our main contribution is a method for incorporating prior information in a natural way and with minimal computational overhead into a registration measure based on a Euclidean minimal spanning tree estimate of entropy.

Original languageEnglish (US)
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages1491-1494
Number of pages4
StatePublished - Dec 1 2005
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: Sep 4 2005Sep 8 2005

Other

Other13th European Signal Processing Conference, EUSIPCO 2005
CountryTurkey
CityAntalya
Period9/4/059/8/05

All Science Journal Classification (ASJC) codes

  • Signal Processing

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  • Cite this

    Sabuncu, M. R., & Ramadge, P. J. (2005). Graph-theoretic image registration using prior examples. In 13th European Signal Processing Conference, EUSIPCO 2005 (pp. 1491-1494)